Don't just predict
the number.
Change it.
Most analytics tools stop at "here's what happened" or "here's what will happen." ORM goes further. We tell you exactly what to do about it. Specific actions. Prioritized by impact. Delivered every week.
Schedule a DemoMost revenue teams are stuck
at level two.
There are four levels of analytics maturity. Most B2B SaaS companies only use the first two. Understanding the difference is the key to understanding why your current tools feel like they are not working.
Descriptive: What happened?
This is your CRM reporting. Dashboards. Charts. Last quarter you closed $7.1M. Win rate was 22%. Average sales cycle was 68 days. Descriptive analytics tells you the score after the game is over. Useful for board decks. Not useful for changing the outcome.
Diagnostic: Why did it happen?
This is where most "revenue intelligence" platforms live. They help you slice the data. Win rate dropped because enterprise deals stalled. Pipeline coverage was thin in the West region. The diagnostic layer explains the past. It still does not tell you what to do next.
Predictive: What will happen?
Forecasting tools live here. They take your current pipeline and project an outcome. "Based on your current pipeline, you will likely close $6.8M this quarter." Better than descriptive. But a prediction without a plan is just a more sophisticated way to worry.
Prescriptive: What should we do?
This is where ORM operates. Prescriptive analytics takes the prediction and converts it into specific actions. Not "improve pipeline coverage." Instead: "Add $1.4M in pipeline from the financial services segment, where your win rate is 31% versus 18% in healthcare. Accelerate the Acme deal by scheduling the technical review this week. Shift two mid-market reps to cover the open territory in the Southeast."
The difference between "you will miss your number" and "here is exactly what to change to hit it."
What prescriptive analytics
actually looks like.
Deal Prioritization
Your reps have 40+ deals in flight. They cannot give equal attention to all of them. ORM's model scores every deal by likelihood to close and revenue impact, then tells your team exactly which deals to focus on this week. Not a dashboard to sort through. A ranked list with reasons.
Pipeline Gap Analysis
You are $2.1M short of target. ORM does not just tell you that. It tells you where to find the pipeline. Which segments have the highest conversion rates. Which deal sources produce the fastest closes. Where your team should spend the next two weeks prospecting.
Resource Optimization
Should you hire two more reps or reallocate the ones you have? ORM models both scenarios using your actual ramp rates and territory data. You get a specific answer with projected revenue impact, not a "it depends" recommendation.
Weekly Action Plans
Every week, ORM delivers a set of specific actions tied to your forecast. Not a report to interpret. A plan to execute. Which deals need attention. Where the pipeline is soft. What your team should focus on for the next seven days.
Prescriptive analytics
requires custom models.
Here is the thing about prescriptive analytics. You cannot deliver meaningful prescriptions from a generic model. If the model does not understand your specific sales cycle, your conversion patterns by segment, and your team's actual capacity, the recommendations will be generic too. "Improve pipeline coverage" is not prescriptive. It is a platitude.
That is why ORM builds every model from scratch on your CRM data. The prescriptions are specific because the model is specific. It knows that your financial services deals close 40% faster than healthcare. It knows that deals sourced from events have a 2x higher win rate than outbound. It knows which reps are strongest in which segments.
The result is not a dashboard you stare at. It is a weekly set of actions your team can execute immediately. Move this deal forward. Prospect in this segment. Reallocate this territory. Each action is tied to a specific revenue impact.
To go deeper on the concept, see our glossary entry on prescriptive analytics. For the full picture of how this fits into a forecasting workflow, read our complete guide to sales forecasting. And if you want to see how ORM's prescriptive approach compares to platform-based tools, visit Optimized Sales.
From data to action in three steps.
ORM connects to your CRM, builds a custom model, and delivers prescriptive actions every week.
Connect1
ORM reads your CRM data. No migration, no integration project, no workflow changes for your team.
Model2
We build a custom model calibrated to your sales motion, segments, and conversion patterns. 4-6 weeks to full calibration.
Prescribe3
Weekly forecasts and specific actions delivered to your team. What to focus on, where to add pipeline, which deals to accelerate.
Frequently asked questions
Stop analyzing. Start acting.
See what prescriptive analytics looks like when it is built on your data.
Schedule a Demo